feideqiu

feideqiu's Stars

• aestovall/GEDI_processing

  Processing pipeline for downloading, analyzing, and gridding GEDI data

  Language:HTML85

• rupy/GCCA

  Generalized Canonical Correlation Analysis

  Language:Python4924

• JonathanVSV/Landsat-Sentinel-Obs

  GEE Javascript API scripts to obtain the number of cloudless observations (using Landsat 4, 5, 7, 8 and Sentinel-2)

  Language:JavaScript54

• LKremer/ggpointdensity

  :chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.

  Language:R41125

• Puneet2000/In-Depth-ML

  In depth machine learning resources

  Language:Jupyter Notebook3917

• rprashanthatwork/Regression-Model-by-Ensemble-Stacking-and-Averaging

  Regression Model by Ensemble, Stacking, and Averaging

  Language:Jupyter Notebook2

• akshaykumarvikram/kaggle-advanced-regression-algos

  Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and microsoft Lightxgb

  Language:Jupyter Notebook225

• Takaaki-Saeki/SpectralFitting

  Curve fitting to complicated spectrum by using scipy.optimize and lmfit

  Language:Jupyter Notebook5

• wenzeslaus/Notebook-for-processing-point-clouds-in-GRASS-GIS

  Notebooks for Processing lidar and UAV point clouds in GRASS GIS FOSS4G Boston 2017 workshop

  Language:Jupyter Notebook83

• l44xu/week3

  Use different approaches to perform data inversion of PROSAIL model for biochemical and biophysical parameter retrieval

  Language:MATLAB51

• leontavares/PlayingWithProsailEmulators

  Language:Jupyter Notebook2

• jbferet/prosail

  R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various inversion strategies. A tutorial can be found on the gitlab website

  Language:R205

• MarcYin/SIAC_GEE

  SIAC GEE version

  Language:JavaScript5718

• Pratikshya-Regmi/Landsat-imagery-download-using-Google-Earth-Engine

  Language:JavaScript3

• GniwT/Housing-Price-Advanced-Regression-Technique

  Machine Learning with Pipelines, Stacking, and Voting Regressor

  Language:Jupyter Notebook1

• evegrace/Predict-House-Prices-with-Stacked-Regressions-

  A machine learning project to predict house prices with stacked regressions.

  Language:Jupyter Notebook1

• Chrisaranguren/Petrophysical_Interpretation_Random_Forest_Regression-

  The goal of this article is to follow a recommended machine learning workflow on how to perform a petrophysical interpretation using an ensemble technique (Supervised Learning model), which is widely known as Random Forest Regression.

  Language:Jupyter Notebook92